Track Microsoft AI-300 practice status for MLOps Engineer, review the route, and request an IT Mastery practice update.
AI-300 is Microsoft’s MLOps and GenAIOps route for candidates who set up infrastructure, automate model and prompt lifecycle work, deploy and monitor AI systems, and optimize traditional machine learning and generative AI solutions on Azure.
This page tracks the AI-300 practice availability for IT Mastery. Dedicated simulator practice is not live yet, but you can review the exam snapshot, route fit, and related live Azure practice options.
| Domain | Weight |
|---|---|
| Design and implement an MLOps infrastructure | 15-20% |
| Implement machine learning model lifecycle and operations | 25-30% |
| Design and implement a GenAIOps infrastructure | 20-25% |
| Implement generative AI quality assurance and observability | 10-15% |
| Optimize generative AI systems and model performance | 10-15% |
| If you need to practice… | Best page | Why |
|---|---|---|
| Azure AI fundamentals | AI-900 | Useful base for AI workloads, service categories, and generative AI vocabulary. |
| Azure administration and operations | AZ-104 | Reinforces identity, monitoring, networking, storage, and operational controls. |
| infrastructure workflow | Terraform Associate (004) | Good live route for provisioning discipline and infrastructure workflow thinking. |